_base_ = "../faster_rcnn/faster_rcnn_r50_fpn_1x_coco.py"
model = dict(
    roi_head=dict(
        type="DoubleHeadRoIHead",
        reg_roi_scale_factor=1.3,
        bbox_head=dict(
            _delete_=True,
            type="DoubleConvFCBBoxHead",
            num_convs=4,
            num_fcs=2,
            in_channels=256,
            conv_out_channels=1024,
            fc_out_channels=1024,
            roi_feat_size=7,
            num_classes=80,
            bbox_coder=dict(
                type="DeltaXYWHBBoxCoder",
                target_means=[0.0, 0.0, 0.0, 0.0],
                target_stds=[0.1, 0.1, 0.2, 0.2],
            ),
            reg_class_agnostic=False,
            loss_cls=dict(type="CrossEntropyLoss", use_sigmoid=False, loss_weight=2.0),
            loss_bbox=dict(type="SmoothL1Loss", beta=1.0, loss_weight=2.0),
        ),
    )
)
